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Continuous Optimization

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Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
Interaction-Force Transport Gradient Flows NIPS 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024
Quantum algorithm for large-scale market equilibrium computation NIPS 2024
Fairness in Social Influence Maximization via Optimal Transport NIPS 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning IJCAI 2024
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024
Robust Blind Text Image Deblurring via Maximum Consensus Framework AAAI 2024
Poseidon: Efficient Foundation Models for PDEs NIPS 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024
Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024
Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024
CLOAF: CoLlisiOn-Aware Human Flow CVPR 2024
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees CVPR 2024
Global Latent Neural Rendering CVPR 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024
Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction CVPR 2024